Students will learn about the basics of AI and how it can be used to improve learning outcomes. They will also explore various AI-powered learning tools and develop their own AI-powered projects.

Our instructor, Jonathan, brings a unique set of skills and experience to the table. With over 20 years of teaching experience, he has a Bachelor's degree in Computer Science and a passion for teaching conversational English to learners of all ages. Additionally, he has worked as a martial arts expert and has performed around the world with various circus teams, showcasing his many talents, including bubbleology, staff spinning, juggling, and stilt walking. As a successful serial entrepreneur, Jonathan has a wealth of knowledge in financial management and investment portfolio management, making him an expert in identifying and seizing opportunities. His diverse background and extensive experience make him the ideal instructor for this class on using AI for better learning.

Homework Offered
Homework assignments will vary each week and may include individual or group projects, reading, or online research. Students should expect to spend approximately 30 mins per week on homework assignments.
0 - 1 hours per week outside of class
Assessments Offered
Learner progress will be assessed through weekly homework assignments.
Grades Offered

"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig - This is a classic textbook on AI that provides a comprehensive introduction to the field.

"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville - This is a popular textbook on deep learning, which is a subset of AI that involves using neural networks to learn from data.

"Machine Learning Yearning" by Andrew Ng - This is a practical guide to machine learning that is designed for beginners who want to learn how to build and deploy machine learning systems.